MULTI-SEGMENT VECTOR QUANTIZER FOR A SPEECH CODER SUITABLE FOR USE IN A RADIOTELEPHONE
Patent №
US 5,675,702
Granted
1997-10-07
Filed 1996
Owner
MOTOROLA, INC.
Lab
—
AI components
2
ml · speech
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
08611608
A Vector-Sum Excited Linear Predictive Coding (VSELP) speech coder provides improved quality and reduced complexity over a typical speech coder. VSELP uses a codebook which has a predefined structure such that the computations required for the codebook search process can be significantly reduced. This VSELP speech coder uses single or multi-segment vector quantizer of the reflection coefficients based on a Fixed-Point-Lattice-Technique (FLAT). Additionally, this speech coder uses a pre-quantizer to reduce the vector codebook search complexity and a high-resolution scalar quantizer to reduce the amount of memory needed to store the reflection coefficient vector codebooks. Resulting in a high quality speech coder with reduced computations and storage requirements.
AI classification
Ownership
MOTOROLA, INC.
assignment · 274030977
Assignors
GERSON, IRA A., JASIUK, MARK A., HARTMAN, MATTHEW A.
On an employer assignment, the assignors are typically the inventors.